KHALM-Labs/aegisnode-validate

🛡️ AegisNode Validate (6.7B)

AegisNode Validate is a specialized code-generation model fine-tuned to write syntactically flawless, zero-yapping AWS Terraform (HCL). It is built on top of deepseek-coder-6.7b-instruct using Unsloth and QLoRA.

This model is Phase 1 of a larger Curriculum Learning pipeline. It has been strictly trained to master the "grammar" of Terraform, complex referencing (depends_on, lifecycle), and strict adherence to the AWS Provider ~> 5.0 format.

🚨 CRITICAL WARNING: SYNTAX ONLY 🚨

This model has ONLY been trained against terraform validate. While the output will be structurally and syntactically perfect HCL, it is not guaranteed to pass terraform plan or deploy successfully. * It may hallucinate AWS region constraints (e.g., placing CloudFront WAFs outside us-east-1).

• It may create logically orphaned resources (e.g., generating a KMS key but forgetting to attach it to a database).
• It has not yet been trained on Checkov/tfsec security policies.

Do not deploy this code to production without human review. This model is intended to be used as a high-speed bootstrapping tool or a "Teacher Model" for generating training data for more advanced logic pipelines.

🧠 Model Behavior: The "Zero-Yapping" Guarantee

Unlike standard conversational LLMs, AegisNode Validate has been trained on a heavily filtered dataset to completely eliminate conversational filler.

• It will not say "Here is your code."
• It will not apologize.
• It will not output markdown wrappers (hcl) unless explicitly prompted.
• It outputs RAW, executable HCL from the very first token.

💻 Usage (Ollama / GGUF)

Because this model relies on the native DeepSeek-Coder template, you must use the correct instruction formatting. If you download the .gguf file, use the following Modelfile to run it in Ollama:

Create and run the model:

ollama create aegisnode-validate -f Modelfile
ollama run aegisnode-validate "Create a VPC in us-east-1 with CIDR 10.0.0.0/16 and two public subnets."

📊 Training Details

• Base Model: deepseek-ai/deepseek-coder-6.7b-instruct
• Dataset: 3,470 meticulously refined and augmented Terraform trajectories.
• Hardware: 1x NVIDIA RTX 5070TI (32GB VRAM)
• Framework: Unsloth + Huggingface TRL
• Hyperparameters: Rank 8, Alpha 16, LR 2e-5, Cosine Decay, 1 Epoch. (Trained explicitly on Assistant responses only).

🚀 The AegisNode Roadmap

• Phase 1 (AegisNode Validate): Master HCL syntax and formatting (terraform validate).
• Phase 2 (AegisNode Plan): Master AWS API logic and state relationships (terraform plan).
• Phase 3 (AegisNode Hiraya): Master enterprise security and compliance (checkov / tfsec).